code: def subtract_imagenet_mean_batch(
      batch: paddle.Tensor,
  ) -> paddle.Tensor:
      """Subtract ImageNet mean pixel-wise from a BGR image."""
      mean = np.zeros(shape=batch.shape, dtype="float32")
      mean[:, 0, :, :] = 103.939
      mean[:, 1, :, :] = 116.779
      mean[:, 2, :, :] = 123.680
      mean = paddle.to_tensor(mean)
      return batch - mean
  
imports: import os
  from typing import Callable, Union, List, Tuple
  import cv2
  import paddle
  import PIL
  import numpy
  import paddle.nn.functional
  from scipy.sparse import csr_matrix
label_desc: Use image node_id 7 for calling a global function with example usage: subtract_imagenet_mean_batch(batch) and returns: unknown